In contrast to many vision tasks such as image classification [1]}, face recognition [2]} and object detection [3]}, [4]} which the performance of the algorithms reach to the point of being suitable for real-world applications, the performance of video object segmentation algorithms are still far beyond the annotations performed by human [5]}. This is mainly because this problem does not benefit from availability of a massive corpus of training data, unlike the other aforementioned tasks.
